# ==================================================================== # # TITLE: # # AMR: An R Package for Working with Antimicrobial Resistance Data # # # # SOURCE CODE: # # https://github.com/msberends/AMR # # # # PLEASE CITE THIS SOFTWARE AS: # # Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C # # (2022). AMR: An R Package for Working with Antimicrobial Resistance # # Data. Journal of Statistical Software, 104(3), 1-31. # # https://doi.org/10.18637/jss.v104.i03 # # # # Developed at the University of Groningen and the University Medical # # Center Groningen in The Netherlands, in collaboration with many # # colleagues from around the world, see our website. # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # # # # Visit our website for the full manual and a complete tutorial about # # how to conduct AMR data analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' @rdname proportion #' @export sir_df <- function(data, translate_ab = "name", language = get_AMR_locale(), minimum = 30, as_percent = FALSE, combine_SI = TRUE, confidence_level = 0.95) { tryCatch( sir_calc_df( type = "both", data = data, translate_ab = translate_ab, language = language, minimum = minimum, as_percent = as_percent, combine_SI = combine_SI, confidence_level = confidence_level ), error = function(e) stop_(gsub("in sir_calc_df(): ", "", e$message, fixed = TRUE), call = -5) ) }